G. Ott

690 citations
30 papers · 426 · h-index 12

Impact in

    • Lymphoma Diagnosis and Treatment
  • Genetics top 10%
    • Chronic Lymphocytic Leukemia Research
    • Genomic variations and chromosomal abnormalities
    • Genetics and Neurodevelopmental Disorders

Papers in

G. Ott

26 papers receiving 404 citations

Peers

G. Ott
Comparison fields: 5 of 52
  • Pathology and Forensic Medicine 201
  • Genetics 91
  • Oncology 147
  • Obstetrics and Gynecology 27
  • Dermatology 31
Replace Tuula Lehtinen with:
Tuula Lehtinen Finland
E D'Andrea Italy
Pierre‐Yves Le Prise France
MS Roth United States
C. R. Bartram Germany
Anna K. Wong United States
László Gopcsa Hungary
Yunxia Huang China
Ailsa Hart Netherlands
Yasuyoshi Morita Japan
G. Ott relative to Tuula Lehtinen Finland Tuula Lehtinen's profile →
Citations per field
00.5×
Tuula Lehtinen · 1×
Citations per year

Countries citing papers authored by G. Ott

Since Specialization
Citations

This map shows the geographic impact of G. Ott's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by G. Ott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Ott more than expected).

Fields of papers citing papers by G. Ott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. Ott. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by G. Ott. The network helps show where G. Ott may publish in the future.

Co-authors

The 25 scholars most cited alongside G. Ott, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with G. Ott Line = papers co-authored together G. Ott links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198557
2 199345
3 200143
4 199839
5 200834
6 199932
7 199632
8 200727
9 200024
10 199920
11 198813
12 199612
13 19869
14 19987
15 20005
16
[Foreign body induced sarcoma].
19705
17 19894
18 20124
19 20023
20 20013

About G. Ott

G. Ott is a scholar working on Pathology and Forensic Medicine, Oncology, Molecular Biology, Genetics and Pulmonary and Respiratory Medicine, having authored 30 papers that have together received 426 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (9 papers), Viral-associated cancers and disorders (6 papers), Chronic Lymphocytic Leukemia Research (5 papers), Sarcoma Diagnosis and Treatment (3 papers), T-cell and Retrovirus Studies (3 papers), DNA and Nucleic Acid Chemistry (3 papers), DNA Repair Mechanisms (2 papers) and Cutaneous Melanoma Detection and Management (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (201 citations), Genetics (91 citations), Oncology (147 citations), Obstetrics and Gynecology (27 citations) and Dermatology (31 citations). G. Ott has collaborated with scholars based in Germany, Austria and Netherlands. Frequent co-authors include Thomas Haaf, Michael Schmid, Andreas Zettl, J. M. J. C. Scheres, H K Müller‐Hermelink, Walther M. Pfeifer, H. K. Müller-Hermelink, Cora Hallas, Eric F. David and Werner Paulus. Their work appears in journals such as Histopathology, Langenbeck s Archives of Surgery, Human Genetics, Blood and Neurology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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